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Using the raw spectrograms as input features, the best AUC I got is 0.9307. The configuration was the following:
```
DBN(dropouts=0, epochs=30, epochs_pretrain=0, fan_outs=None, l2_costs=0.0001,
l2…
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Hello, I feel deeply after reading your paper 'An Intrusion Detection System based on Deep Belief Networks'. I have to say, your ideas and abilities are great.But I have a question. Your paper mention…
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[Unsupervised feature learning for audio classification
using convolutional deep belief networks](http://www.robotics.stanford.edu/~ang/papers/nips09-AudioConvolutionalDBN.pdf)
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Background
Protein quality assessment (QA) useful for ranking and selecting protein models has long been viewed as one of the major challenges for protein tertiary structure prediction. Especially, e…
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While studying autoencoder architecture, I discovered that the similar terms "transposed convolution" and "deconvolution" have caused some confusion. I would like to clarify their differences and expl…
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### Deep Learning for Imbalance Classificaition
#### Survey
1. [A systematic study of the class imbalance problem in convolutional neural networks
Cost-Sensitive](https://arxiv.org/pdf/1710.05381.p…
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Some ideas for figures to add to the PPT
- [ ] Linear regression, single-layer neural network
- [ ] Multilayer Perceptron with hidden layer
- [ ] Backpropagation
- [ ] Batch Normalization and al…
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[Visualizing Higher-Layer Features of a Deep Network](http://www.iro.umontreal.ca/~lisa/publications2/index.php/publications/show/247)
Deep architectures have demonstrated state-of-the-art results in…
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Any papers on that
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**Guidelines**
*We are very excited to meet you at the 2020 OHBM Brainhack 🎉* *To submit a project, you need to be an attendee of the 2020 OHBM Brainhack. We ask you to register first over [here](h…